91 citations as recorded by crossref.

1. Probabilistic evaluation of the physical impact of future tephra fallout events for the Island of Vulcano, Italy S. Biass et al. https://doi.org/10.1007/s00445-016-1028-1
2. A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain S. Corradini et al. https://doi.org/10.3390/rs8010058
3. A New Radar‐Based Statistical Model to Quantify Mass Eruption Rate of Volcanic Plumes L. Mereu et al. https://doi.org/10.1029/2022GL100596
4. Balancing bulk gas accumulation and gas output before and during lava fountaining episodes at Mt. Etna D. Carbone et al. https://doi.org/10.1038/srep18049
5. Validation of the FALL3D ash dispersion model using observations of the 2010 Eyjafjallajökull volcanic ash clouds A. Folch et al. https://doi.org/10.1016/j.atmosenv.2011.06.072
6. Shallow conduit dynamics fuel the unexpected paroxysms of Stromboli volcano during the summer 2019 M. Viccaro et al. https://doi.org/10.1038/s41598-020-79558-7
7. A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash B. Andò et al. https://doi.org/10.3390/s21217180
8. A smart multisensor system for volcanic ash fall-out monitoring https://doi.org/10.1016/j.sna.2013.01.056
9. Probabilistic short‐term volcanic hazard in phases of unrest: A case study for tephra fallout J. Selva et al. https://doi.org/10.1002/2014JB011252
10. Towards Global Volcano Monitoring Using Multisensor Sentinel Missions and Artificial Intelligence: The MOUNTS Monitoring System S. Valade et al. https://doi.org/10.3390/rs11131528
11. Ash sedimentation by fingering and sediment thermals from wind-affected volcanic plumes V. Freret-Lorgeril et al. https://doi.org/10.1016/j.epsl.2020.116072
12. Near real-time total grain size distributions of explosive eruptions at Mount Etna (Sicily) V. Freret-Lorgeril et al. https://doi.org/10.1007/s00445-026-01949-x
13. Unexpected hazards from tephra fallouts at Mt Etna: The 23 November 2013 lava fountain D. Andronico et al. https://doi.org/10.1016/j.jvolgeores.2015.08.007
14. Volcanic ash detection by GPS signal M. Aranzulla et al. https://doi.org/10.1007/s10291-012-0294-4
15. Remote sEnsing obServations of source Parameters and data IntegRation at EtnA: the RESPIRA database L. Mereu & S. Scollo https://doi.org/10.1038/s41597-026-07524-5
16. Near-source Doppler radar monitoring of tephra plumes at Etna F. Donnadieu et al. https://doi.org/10.1016/j.jvolgeores.2016.01.009
17. A statistical approach to evaluate the tephra deposit and ash concentration from PUFF model forecasts S. Scollo et al. https://doi.org/10.1016/j.jvolgeores.2010.12.004
18. Remote sensing measurements of fresh volcanic ash during the Mount Etna emission of February 21, 2019 S. Spinosa et al. https://doi.org/10.1016/j.rsase.2024.101413
19. A Model for Buoyant Tephra Plumes Coupled to Lava Fountains With an Application to the 29th of August 2011 Paroxysmal Eruption at Mount Etna, Italy E. Snee et al. https://doi.org/10.1029/2020JB021360
20. A review of tephra transport and dispersal models: Evolution, current status, and future perspectives A. Folch https://doi.org/10.1016/j.jvolgeores.2012.05.020
21. Explosive Paroxysmal Events at Etna Volcano of Different Magnitude and Intensity Explored through a Multidisciplinary Monitoring System S. Calvari et al. https://doi.org/10.3390/rs14164006
22. Examining the influence of meteorological simulations forced by different initial and boundary conditions in volcanic ash dispersion modelling G. Mulena et al. https://doi.org/10.1016/j.atmosres.2016.02.009
23. Forecasting seismic scenarios on Etna volcano (Italy) through probabilistic intensity attenuation models: A Bayesian approach R. Azzaro et al. https://doi.org/10.1016/j.jvolgeores.2012.07.011
24. Near Real-Time Monitoring of the Christmas 2018 Etna Eruption Using SEVIRI and Products Validation S. Corradini et al. https://doi.org/10.3390/rs12081336
25. A smart multisensor system for volcanic ash fall-out monitoring B. Andò et al. https://doi.org/10.1016/j.sna.2013.03.027
26. Motif Discovery on Seismic Amplitude Time Series: The Case Study of Mt Etna 2011 Eruptive Activity C. Cassisi et al. https://doi.org/10.1007/s00024-012-0560-y
27. Real-Time Geophysical Monitoring of Particle Size Distribution During Volcanic Explosions at Stromboli Volcano (Italy) L. Pioli & A. Harris https://doi.org/10.3389/feart.2019.00052
28. Eruption dynamics and tephra dispersal from the 24 November 2006 paroxysm at South-East Crater, Mt Etna, Italy D. Andronico et al. https://doi.org/10.1016/j.jvolgeores.2014.01.009
29. Ash-plume dynamics and eruption source parameters by infrasound and thermal imagery: The 2010 Eyjafjallajökull eruption M. Ripepe et al. https://doi.org/10.1016/j.epsl.2013.02.005
30. How to remove the seasonal atmospheric effect: An application on a surface volcanic temperature at Nisyros active volcano, Hellenic Volcanic Arc A. Marsellos et al. https://doi.org/10.1016/j.jvolgeores.2020.107069
31. Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission S. Scollo et al. https://doi.org/10.3390/rs12233866
32. Volcanic ash concentration during the 12 August 2011 Etna eruption S. Scollo et al. https://doi.org/10.1002/2015GL063027
33. The role of the urban system dysfunction in the assessment of seismic risk in the Mt. Etna area (Italy) F. Meroni et al. https://doi.org/10.1007/s10518-015-9780-8
34. Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna V. Freret-Lorgeril et al. https://doi.org/10.3390/rs13112097
35. Estimating the mass of tephra accumulated on roads to best manage the impact of volcanic eruptions: the example of Mt Etna, Italy L. Mereu et al. https://doi.org/10.5194/nhess-25-1943-2025
36. The initial phases of the 2008–2009 Mount Etna eruption: A multidisciplinary approach for hazard assessment A. Bonaccorso et al. https://doi.org/10.1029/2010JB007906
37. Probabilistic Volcanic Ash Hazard Analysis (PVAHA) I: development of the VAPAH tool for emulating multi-scale volcanic ash fall analysis A. Bear-Crozier et al. https://doi.org/10.1186/s13617-016-0043-4
38. Potential loading damage to industrial storage tanks due to volcanic ash fallout M. Milazzo et al. https://doi.org/10.1007/s11069-012-0518-5
39. Modeling the Trajectories of Ballistics in the Summit Area of Mt. Etna (Italy) during the 2020–2022 Sequence of Lava Fountains G. Costa et al. https://doi.org/10.3390/geosciences13050145
40. A fast compilation of the VONA messages using a computer-assisted procedure P. Bonfanti et al. https://doi.org/10.1007/s00445-024-01728-6
41. HOTVOLC: a web-based monitoring system for volcanic hot spots M. Gouhier et al. https://doi.org/10.1144/SP426.31
42. Unravelling the links between seismo-acoustic signals and eruptive parameters: Etna lava fountain case study M. Sciotto et al. https://doi.org/10.1038/s41598-019-52576-w
43. An automated ash dispersion forecast system: case study Popocatépetl volcano, Mexico A. García et al. https://doi.org/10.1186/s13617-023-00135-4
44. A multivariate probabilistic graphical model for real‐time volcano monitoring on Mount Etna F. Cannavò et al. https://doi.org/10.1002/2016JB013512
45. Monitoring Etna volcanic plumes using a scanning LiDAR S. Scollo et al. https://doi.org/10.1007/s00445-012-0669-y
46. Tephra Mass Eruption Rate From Ground-Based X-Band and L-Band Microwave Radars During the November 23, 2013, Etna Paroxysm F. Marzano et al. https://doi.org/10.1109/TGRS.2019.2953167
47. Toward a Real-Time Analysis of Column Height by Visible Cameras: An Example from Mt. Etna, in Italy A. Aravena et al. https://doi.org/10.3390/rs15102595
48. The effect of Etna volcanic ash clouds on the Maltese Islands F. Azzopardi et al. https://doi.org/10.1016/j.jvolgeores.2013.04.019
49. Measuring the electrical charge and settling velocity of volcanic ash with a new, cost-effective apparatus (VoltAsh) both in the laboratory and in the field A. Fries et al. https://doi.org/10.1007/s00445-026-02027-y
50. Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity A. Cannata et al. https://doi.org/10.5194/nhess-13-1669-2013
51. Modeling the effects of eruptive and seismic activities on flank instability at Mount Etna, Italy F. Bozzano et al. https://doi.org/10.1002/jgrb.50377
52. First Volcanic Plume Measurements by an Elastic/Raman Lidar Close to the Etna Summit Craters A. Boselli et al. https://doi.org/10.3389/feart.2018.00125
53. Tephra hazard assessment at Mt. Etna (Italy) S. Scollo et al. https://doi.org/10.5194/nhess-13-3221-2013
54. Tephra characterization and multi-disciplinary determination of Eruptive Source Parameters of a weak paroxysm at Mount Etna (Italy) V. Freret-Lorgeril et al. https://doi.org/10.1016/j.jvolgeores.2021.107431
55. Muography as a new complementary tool in monitoring volcanic hazard: implications for early warning systems G. Leone et al. https://doi.org/10.1098/rspa.2021.0320
56. Improving the system of numerical simulation of volcanic ash propagation using the PUFF model S. Malkovsky et al. https://doi.org/10.2205/2017ES000612
57. Operational Response to Volcanic Ash Risks Using HOTVOLC Satellite-Based System and MOCAGE-Accident Model at the Toulouse VAAC M. Gouhier et al. https://doi.org/10.3390/atmos11080864
58. Risks associated with volcanic ash fallout from Mt.Etna with reference to industrial filtration systems M. Milazzo et al. https://doi.org/10.1016/j.ress.2013.05.008
59. A novel simplified ground-based thermal infrared (TIR) system for volcanic plume geometry, SO2 columnar abundance, and flux retrievals L. Guerrieri et al. https://doi.org/10.5194/amt-18-5281-2025
60. Near-Real-Time Tephra Fallout Assessment at Mt. Etna, Italy S. Scollo et al. https://doi.org/10.3390/rs11242987
61. Quantifying Strombolian Activity at Etna Volcano L. Pioli et al. https://doi.org/10.3390/geosciences12040163
62. Shallow factors controlling the explosivity of basaltic magmas: The 17–25 May 2016 eruption of Etna Volcano (Italy) M. Edwards et al. https://doi.org/10.1016/j.jvolgeores.2018.05.015
63. Enhancing detection of volcanic ash clouds from space with convolutional neural networks F. Torrisi et al. https://doi.org/10.1016/j.jvolgeores.2024.108046
64. Monitoring of the plume from the basaltic phreatomagmatic 2004 Grímsvötn eruption—application of weather radar and comparison with plume models B. Oddsson et al. https://doi.org/10.1007/s00445-012-0598-9
65. Mass Eruption Rates of Tephra Plumes During the 2011–2015 Lava Fountain Paroxysms at Mt. Etna From Doppler Radar Retrievals V. Freret-Lorgeril et al. https://doi.org/10.3389/feart.2018.00073
66. The European Volcano Observatories and their use of the aviation colour code system S. Barsotti et al. https://doi.org/10.1007/s00445-024-01712-0
67. A GIS-based tool for the management of industrial accidents triggered by volcanic ash fallouts G. Ancione et al. https://doi.org/10.1080/13669877.2014.961515
68. Tropospheric Volcanic SO2 Mass and Flux Retrievals from Satellite. The Etna December 2018 Eruption S. Corradini et al. https://doi.org/10.3390/rs13112225
69. Eruption Source Parameters for forecasting ash dispersion and deposition from vulcanian eruptions at Tungurahua volcano: Insights from field data from the July 2013 eruption R. Parra et al. https://doi.org/10.1016/j.jvolgeores.2015.11.001
70. Dynamics of a lava fountain revealed by geophysical, geochemical and thermal satellite measurements: The case of the 10 April 2011 Mt Etna eruption A. Bonaccorso et al. https://doi.org/10.1029/2011GL049637
71. Selective Measurement of Volcanic Ash Flow-Rate B. Ando et al. https://doi.org/10.1109/TIM.2013.2283587
72. From source to surface: dynamics of Etna’s lava fountains investigated by continuous strain, magnetic, ground and satellite thermal data A. Bonaccorso et al. https://doi.org/10.1007/s00445-013-0690-9
73. PlumeTraP: A New MATLAB-Based Algorithm to Detect and Parametrize Volcanic Plumes from Visible-Wavelength Images R. Simionato et al. https://doi.org/10.3390/rs14071766
74. Study over volcanic ash contamination conditions of Romanian air space-Etna A. URLEA et al. https://doi.org/10.13111/2066-8201.2020.12.4.18
75. Comparison between Automated and Manual Detection of Lava Fountains from Fixed Monitoring Thermal Cameras at Etna Volcano, Italy S. Calvari & G. Nunnari https://doi.org/10.3390/rs14102392
76. The 2010 ash emissions at the summit craters of Mt Etna: Relationship with seismo‐acoustic signals D. Andronico et al. https://doi.org/10.1029/2012JB009895
77. Multisensor Characterization of the Incandescent Jet Region of Lava Fountain-Fed Tephra Plumes L. Mereu et al. https://doi.org/10.3390/rs12213629
78. Degassing behaviour at basaltic volcanoes: New insights from experimental investigations of different conduit geometry and magma viscosity L. Spina et al. https://doi.org/10.1016/j.earscirev.2019.03.010
79. Fate of volcanic ash: Aggregation and fallout W. Rose & A. Durant https://doi.org/10.1130/focus092011.1
80. Volcanic Emissions, Plume Dispersion, and Downwind Radiative Impacts Following Mount Etna Series of Eruptions of February 21–26, 2021 P. Sellitto et al. https://doi.org/10.1029/2021JD035974
81. Mapping Geodiversity at a National Scale: the Case Study of Italy I. Alberico et al. https://doi.org/10.1007/s12371-023-00889-8
82. Maximum-Likelihood Retrieval of Volcanic Ash Concentration and Particle Size From Ground-Based Scanning Lidar L. Mereu et al. https://doi.org/10.1109/TGRS.2018.2826839
83. Multi O- and S-isotopes as tracers of black crusts formation under volcanic and non-volcanic atmospheric conditions in Sicily (Italy) A. Aroskay et al. https://doi.org/10.1016/j.scitotenv.2020.142283
84. Three‐dimensional volcanic aerosol dispersal: A comparison between Multiangle Imaging Spectroradiometer (MISR) data and numerical simulations S. Scollo et al. https://doi.org/10.1029/2009JD013162
85. GPR investigation of tephra fallout, Cerro Negro volcano, Nicaragua: a method for constraining parameters used in tephra sedimentation models L. Courtland et al. https://doi.org/10.1007/s00445-012-0603-3
86. HOTVOLC: the official French satellite-based service for operational monitoring and early warning of volcanic ash plumes Y. Guéhenneux & M. Gouhier https://doi.org/10.1007/s00445-024-01716-w
87. AI-driven volcanic SO2 estimates using MSG-SEVIRI and Sentinel-5P TROPOMI M. Dozzo et al. https://doi.org/10.1007/s00445-026-02036-x
88. Search for possible relationship between volcanic ash particles and thunderstorm lightning activity A. Várai et al. https://doi.org/10.1088/1742-6596/333/1/012016
89. Near-Real-Time Detection of Tephra Eruption Onset and Mass Flow Rate Using Microwave Weather Radar and Infrasonic Arrays F. Marzano et al. https://doi.org/10.1109/TGRS.2016.2578282
90. Near-real-time multiparametric seismic and visual monitoring of explosive activity at Sabancaya volcano, Peru R. Centeno et al. https://doi.org/10.1016/j.jvolgeores.2024.108097
91. Monitoring the December 2015 summit eruptions of Mt. Etna (Italy): Implications on eruptive dynamics R. Corsaro et al. https://doi.org/10.1016/j.jvolgeores.2017.04.018